Overview

Dataset statistics

Number of variables32
Number of observations11026
Missing cells291756
Missing cells (%)82.7%
Duplicate rows436
Duplicate rows (%)4.0%
Total size in memory3.8 MiB
Average record size in memory359.6 B

Variable types

Categorical3
Numeric29

Alerts

art_status has constant value "Positive"Constant
Dataset has 436 (4.0%) duplicate rowsDuplicates
Age (at enrolment) is highly overall correlated with Clinical Study IDHigh correlation
Clinical Study ID is highly overall correlated with Age (at enrolment) and 3 other fieldsHigh correlation
Sex is highly overall correlated with Clinical Study ID and 2 other fieldsHigh correlation
alt_U_L is highly overall correlated with ast_U_LHigh correlation
ast_U_L is highly overall correlated with alt_U_LHigh correlation
cd4_count_cells_uL is highly overall correlated with Clinical Study ID and 1 other fieldsHigh correlation
creatinine_clearance_mL_min is highly overall correlated with creatinine_umol_LHigh correlation
creatinine_umol_L is highly overall correlated with Sex and 1 other fieldsHigh correlation
hematocrit_percent is highly overall correlated with hemoglobin_g_dLHigh correlation
hemoglobin_g_dL is highly overall correlated with Sex and 1 other fieldsHigh correlation
hiv_vl_copies_mL is highly overall correlated with Clinical Study ID and 1 other fieldsHigh correlation
ldl_cholesterol_mmol_L_consolidated is highly overall correlated with total_cholesterol_mmol_LHigh correlation
lymphocyte_count_10e9_L is highly overall correlated with wbc_count_10e9_LHigh correlation
mch_pg is highly overall correlated with mchc_g_dL and 1 other fieldsHigh correlation
mchc_g_dL is highly overall correlated with mch_pgHigh correlation
mcv_fL is highly overall correlated with mch_pgHigh correlation
monocyte_count_10e9_L is highly overall correlated with wbc_count_10e9_LHigh correlation
neutrophil_count_10e9_L is highly overall correlated with wbc_count_10e9_LHigh correlation
total_cholesterol_mmol_L is highly overall correlated with ldl_cholesterol_mmol_L_consolidatedHigh correlation
wbc_count_10e9_L is highly overall correlated with lymphocyte_count_10e9_L and 2 other fieldsHigh correlation
Clinical Study ID is highly imbalanced (81.7%)Imbalance
Clinical Study ID has 8096 (73.4%) missing valuesMissing
Age (at enrolment) has 1246 (11.3%) missing valuesMissing
Sex has 1320 (12.0%) missing valuesMissing
BMI (kg/m²) has 8163 (74.0%) missing valuesMissing
cd4_count_cells_uL has 7542 (68.4%) missing valuesMissing
hiv_vl_copies_mL has 9468 (85.9%) missing valuesMissing
art_status has 10809 (98.0%) missing valuesMissing
hemoglobin_g_dL has 9656 (87.6%) missing valuesMissing
hematocrit_percent has 9276 (84.1%) missing valuesMissing
wbc_count_10e9_L has 9069 (82.3%) missing valuesMissing
platelet_count_10e9_L has 9656 (87.6%) missing valuesMissing
neutrophil_count_10e9_L has 9661 (87.6%) missing valuesMissing
lymphocyte_count_10e9_L has 9656 (87.6%) missing valuesMissing
monocyte_count_10e9_L has 9757 (88.5%) missing valuesMissing
eosinophil_count_10e9_L has 9757 (88.5%) missing valuesMissing
basophil_count_10e9_L has 9757 (88.5%) missing valuesMissing
mcv_fL has 9757 (88.5%) missing valuesMissing
mch_pg has 9974 (90.5%) missing valuesMissing
mchc_g_dL has 9974 (90.5%) missing valuesMissing
rdw_percent has 10809 (98.0%) missing valuesMissing
alt_U_L has 10708 (97.1%) missing valuesMissing
ast_U_L has 10285 (93.3%) missing valuesMissing
albumin_g_dL has 10083 (91.4%) missing valuesMissing
total_protein_g_dL has 10097 (91.6%) missing valuesMissing
creatinine_umol_L has 10809 (98.0%) missing valuesMissing
creatinine_clearance_mL_min has 10809 (98.0%) missing valuesMissing
potassium_mEq_L has 10847 (98.4%) missing valuesMissing
total_cholesterol_mmol_L has 9128 (82.8%) missing valuesMissing
hdl_cholesterol_mmol_L_consolidated has 8108 (73.5%) missing valuesMissing
ldl_cholesterol_mmol_L_consolidated has 8109 (73.5%) missing valuesMissing
triglycerides_mmol_L_consolidated has 10054 (91.2%) missing valuesMissing
fasting_glucose_mmol_L has 9316 (84.5%) missing valuesMissing
hiv_vl_copies_mL has 423 (3.8%) zerosZeros
basophil_count_10e9_L has 135 (1.2%) zerosZeros

Reproduction

Analysis started2025-11-25 06:08:16.992490
Analysis finished2025-11-25 06:08:43.759571
Duration26.77 seconds
Software versionydata-profiling vv4.18.0
Download configurationconfig.json

Variables

Clinical Study ID
Categorical

High correlation  Imbalance  Missing 

Distinct6
Distinct (%)0.2%
Missing8096
Missing (%)73.4%
Memory size659.2 KiB
Tholimpilo_HIV_Linkage_Study
2751 
Arm B
 
39
Arm A
 
36
Arm D
 
36
Arm C
 
35

Length

Max length28
Median length28
Mean length26.594881
Min length5

Characters and Unicode

Total characters77923
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowArm A
2nd rowArm B
3rd rowArm A
4th rowArm C
5th rowArm A

Common Values

ValueCountFrequency (%)
Tholimpilo_HIV_Linkage_Study2751
 
25.0%
Arm B39
 
0.4%
Arm A36
 
0.3%
Arm D36
 
0.3%
Arm C35
 
0.3%
Arm E33
 
0.3%
(Missing)8096
73.4%

Length

2025-11-25T08:08:43.780376image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-25T08:08:43.816590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
tholimpilo_hiv_linkage_study2751
88.5%
arm179
 
5.8%
b39
 
1.3%
a36
 
1.2%
d36
 
1.2%
c35
 
1.1%
e33
 
1.1%

Most occurring characters

ValueCountFrequency (%)
i8253
 
10.6%
_8253
 
10.6%
o5502
 
7.1%
l5502
 
7.1%
m2930
 
3.8%
T2751
 
3.5%
h2751
 
3.5%
y2751
 
3.5%
d2751
 
3.5%
u2751
 
3.5%
Other values (19)33728
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter52627
67.5%
Uppercase Letter16864
 
21.6%
Connector Punctuation8253
 
10.6%
Space Separator179
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i8253
15.7%
o5502
 
10.5%
l5502
 
10.5%
m2930
 
5.6%
h2751
 
5.2%
y2751
 
5.2%
d2751
 
5.2%
u2751
 
5.2%
t2751
 
5.2%
e2751
 
5.2%
Other values (6)13934
26.5%
Uppercase Letter
ValueCountFrequency (%)
T2751
16.3%
S2751
16.3%
L2751
16.3%
V2751
16.3%
I2751
16.3%
H2751
16.3%
A215
 
1.3%
B39
 
0.2%
D36
 
0.2%
C35
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_8253
100.0%
Space Separator
ValueCountFrequency (%)
179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin69491
89.2%
Common8432
 
10.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
i8253
 
11.9%
o5502
 
7.9%
l5502
 
7.9%
m2930
 
4.2%
T2751
 
4.0%
h2751
 
4.0%
y2751
 
4.0%
d2751
 
4.0%
u2751
 
4.0%
t2751
 
4.0%
Other values (17)30798
44.3%
Common
ValueCountFrequency (%)
_8253
97.9%
179
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII77923
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i8253
 
10.6%
_8253
 
10.6%
o5502
 
7.1%
l5502
 
7.1%
m2930
 
3.8%
T2751
 
3.5%
h2751
 
3.5%
y2751
 
3.5%
d2751
 
3.5%
u2751
 
3.5%
Other values (19)33728
43.3%

Age (at enrolment)
Real number (ℝ)

High correlation  Missing 

Distinct740
Distinct (%)7.6%
Missing1246
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean35.94837
Minimum13
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:43.858686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20
Q127
median34
Q344
95-th percentile57
Maximum76
Range63
Interquartile range (IQR)17

Descriptive statistics

Standard deviation11.255534
Coefficient of variation (CV)0.31310275
Kurtosis-0.46859921
Mean35.94837
Median Absolute Deviation (MAD)8
Skewness0.5372417
Sum351575.06
Variance126.68704
MonotonicityNot monotonic
2025-11-25T08:08:43.903730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31337
 
3.1%
26323
 
2.9%
30323
 
2.9%
28317
 
2.9%
34308
 
2.8%
29308
 
2.8%
25306
 
2.8%
24303
 
2.7%
33299
 
2.7%
27296
 
2.7%
Other values (730)6660
60.4%
(Missing)1246
 
11.3%
ValueCountFrequency (%)
131
 
< 0.1%
141
 
< 0.1%
156
 
0.1%
163
 
< 0.1%
1718
 
0.2%
18106
1.0%
18.11
 
< 0.1%
18.81
 
< 0.1%
19162
1.5%
19.31
 
< 0.1%
ValueCountFrequency (%)
761
 
< 0.1%
741
 
< 0.1%
722
 
< 0.1%
712
 
< 0.1%
701
 
< 0.1%
692
 
< 0.1%
684
 
< 0.1%
673
 
< 0.1%
665
 
< 0.1%
6515
0.1%

Sex
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing1320
Missing (%)12.0%
Memory size585.2 KiB
Female
4764 
Male
4518 
Unknown
 
423
Not available
 
1

Length

Max length13
Median length7
Mean length5.113332
Min length4

Characters and Unicode

Total characters49630
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowFemale
2nd rowFemale
3rd rowFemale
4th rowFemale
5th rowMale

Common Values

ValueCountFrequency (%)
Female4764
43.2%
Male4518
41.0%
Unknown423
 
3.8%
Not available1
 
< 0.1%
(Missing)1320
 
12.0%

Length

2025-11-25T08:08:43.943397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-25T08:08:43.974506image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
female4764
49.1%
male4518
46.5%
unknown423
 
4.4%
not1
 
< 0.1%
available1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e14047
28.3%
a9285
18.7%
l9284
18.7%
F4764
 
9.6%
m4764
 
9.6%
M4518
 
9.1%
n1269
 
2.6%
o424
 
0.9%
w423
 
0.9%
k423
 
0.9%
Other values (7)429
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter39923
80.4%
Uppercase Letter9706
 
19.6%
Space Separator1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e14047
35.2%
a9285
23.3%
l9284
23.3%
m4764
 
11.9%
n1269
 
3.2%
o424
 
1.1%
w423
 
1.1%
k423
 
1.1%
t1
 
< 0.1%
v1
 
< 0.1%
Other values (2)2
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
F4764
49.1%
M4518
46.5%
U423
 
4.4%
N1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin49629
> 99.9%
Common1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e14047
28.3%
a9285
18.7%
l9284
18.7%
F4764
 
9.6%
m4764
 
9.6%
M4518
 
9.1%
n1269
 
2.6%
o424
 
0.9%
w423
 
0.9%
k423
 
0.9%
Other values (6)428
 
0.9%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII49630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e14047
28.3%
a9285
18.7%
l9284
18.7%
F4764
 
9.6%
m4764
 
9.6%
M4518
 
9.1%
n1269
 
2.6%
o424
 
0.9%
w423
 
0.9%
k423
 
0.9%
Other values (7)429
 
0.9%

BMI (kg/m²)
Real number (ℝ)

Missing 

Distinct2057
Distinct (%)71.8%
Missing8163
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean27.048324
Minimum15.1
Maximum65.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.014827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum15.1
5-th percentile18.144979
Q121.680643
median25.9
Q331.091306
95-th percentile40.268
Maximum65.89
Range50.79
Interquartile range (IQR)9.410663

Descriptive statistics

Standard deviation7.0432723
Coefficient of variation (CV)0.26039588
Kurtosis1.3574619
Mean27.048324
Median Absolute Deviation (MAD)4.6
Skewness1.0118398
Sum77439.352
Variance49.607684
MonotonicityNot monotonic
2025-11-25T08:08:44.058322image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.312
 
0.1%
2510
 
0.1%
21.810
 
0.1%
21.59
 
0.1%
20.89
 
0.1%
26.79
 
0.1%
26.88
 
0.1%
32.38
 
0.1%
318
 
0.1%
25.88
 
0.1%
Other values (2047)2772
 
25.1%
(Missing)8163
74.0%
ValueCountFrequency (%)
15.11
< 0.1%
15.241
< 0.1%
15.269471081
< 0.1%
15.32
< 0.1%
15.338972351
< 0.1%
15.377500291
< 0.1%
15.391
< 0.1%
15.445162251
< 0.1%
15.461
< 0.1%
15.480864371
< 0.1%
ValueCountFrequency (%)
65.891
< 0.1%
62.841
< 0.1%
58.621
< 0.1%
571
< 0.1%
56.421
< 0.1%
56.11
< 0.1%
56.091
< 0.1%
54.91
< 0.1%
54.31
< 0.1%
53.911
< 0.1%

cd4_count_cells_uL
Real number (ℝ)

High correlation  Missing 

Distinct1799
Distinct (%)51.6%
Missing7542
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean337.27033
Minimum0.26
Maximum2703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.102122image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.26
5-th percentile9.086
Q126.09
median304
Q3525
95-th percentile898.4
Maximum2703
Range2702.74
Interquartile range (IQR)498.91

Descriptive statistics

Standard deviation311.92696
Coefficient of variation (CV)0.92485739
Kurtosis2.9429313
Mean337.27033
Median Absolute Deviation (MAD)270.025
Skewness1.1688051
Sum1175049.8
Variance97298.427
MonotonicityNot monotonic
2025-11-25T08:08:44.148525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50010
 
0.1%
3159
 
0.1%
4679
 
0.1%
4209
 
0.1%
3509
 
0.1%
4828
 
0.1%
4438
 
0.1%
4498
 
0.1%
4278
 
0.1%
3368
 
0.1%
Other values (1789)3398
30.8%
(Missing)7542
68.4%
ValueCountFrequency (%)
0.261
< 0.1%
0.341
< 0.1%
0.451
< 0.1%
0.531
< 0.1%
0.631
< 0.1%
0.651
< 0.1%
0.71
< 0.1%
0.771
< 0.1%
0.831
< 0.1%
0.911
< 0.1%
ValueCountFrequency (%)
27031
< 0.1%
26092
< 0.1%
19961
< 0.1%
17811
< 0.1%
17251
< 0.1%
15961
< 0.1%
15771
< 0.1%
15681
< 0.1%
15641
< 0.1%
15491
< 0.1%

hiv_vl_copies_mL
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1022
Distinct (%)65.6%
Missing9468
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean63629.47
Minimum0
Maximum4117370
Zeros423
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.193611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6770.5
Q344295.25
95-th percentile279377.25
Maximum4117370
Range4117370
Interquartile range (IQR)44295.25

Descriptive statistics

Standard deviation211323.28
Coefficient of variation (CV)3.3211541
Kurtosis137.06076
Mean63629.47
Median Absolute Deviation (MAD)6770.5
Skewness9.877322
Sum99134714
Variance4.4657527 × 1010
MonotonicityNot monotonic
2025-11-25T08:08:44.238769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0423
 
3.8%
4039
 
0.4%
839803
 
< 0.1%
120493
 
< 0.1%
39553
 
< 0.1%
265682
 
< 0.1%
1466852
 
< 0.1%
115992
 
< 0.1%
10502
 
< 0.1%
885392
 
< 0.1%
Other values (1012)1077
 
9.8%
(Missing)9468
85.9%
ValueCountFrequency (%)
0423
3.8%
101
 
< 0.1%
311
 
< 0.1%
4039
 
0.4%
411
 
< 0.1%
511
 
< 0.1%
631
 
< 0.1%
741
 
< 0.1%
821
 
< 0.1%
871
 
< 0.1%
ValueCountFrequency (%)
41173701
< 0.1%
27572981
< 0.1%
26700001
< 0.1%
23246901
< 0.1%
18981051
< 0.1%
17604591
< 0.1%
15519881
< 0.1%
13932131
< 0.1%
12039331
< 0.1%
11350111
< 0.1%

art_status
Categorical

Constant  Missing 

Distinct1
Distinct (%)0.5%
Missing10809
Missing (%)98.0%
Memory size603.3 KiB
Positive
217 

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters1736
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPositive
2nd rowPositive
3rd rowPositive
4th rowPositive
5th rowPositive

Common Values

ValueCountFrequency (%)
Positive217
 
2.0%
(Missing)10809
98.0%

Length

2025-11-25T08:08:44.282373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-25T08:08:44.317369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
positive217
100.0%

Most occurring characters

ValueCountFrequency (%)
i434
25.0%
P217
12.5%
o217
12.5%
s217
12.5%
t217
12.5%
v217
12.5%
e217
12.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1519
87.5%
Uppercase Letter217
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i434
28.6%
o217
14.3%
s217
14.3%
t217
14.3%
v217
14.3%
e217
14.3%
Uppercase Letter
ValueCountFrequency (%)
P217
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1736
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i434
25.0%
P217
12.5%
o217
12.5%
s217
12.5%
t217
12.5%
v217
12.5%
e217
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i434
25.0%
P217
12.5%
o217
12.5%
s217
12.5%
t217
12.5%
v217
12.5%
e217
12.5%

hemoglobin_g_dL
Real number (ℝ)

High correlation  Missing 

Distinct110
Distinct (%)8.0%
Missing9656
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean13.51073
Minimum6.1
Maximum18.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.353605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.1
5-th percentile10.1
Q112.4
median13.6
Q314.8
95-th percentile16.4
Maximum18.4
Range12.3
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.9079994
Coefficient of variation (CV)0.14122105
Kurtosis0.40694345
Mean13.51073
Median Absolute Deviation (MAD)1.2
Skewness-0.45113762
Sum18509.7
Variance3.6404618
MonotonicityNot monotonic
2025-11-25T08:08:44.399341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.439
 
0.4%
12.537
 
0.3%
13.834
 
0.3%
13.934
 
0.3%
13.333
 
0.3%
14.432
 
0.3%
14.132
 
0.3%
13.231
 
0.3%
14.630
 
0.3%
1330
 
0.3%
Other values (100)1038
 
9.4%
(Missing)9656
87.6%
ValueCountFrequency (%)
6.11
 
< 0.1%
6.81
 
< 0.1%
7.21
 
< 0.1%
7.31
 
< 0.1%
7.41
 
< 0.1%
7.62
< 0.1%
7.73
< 0.1%
7.91
 
< 0.1%
83
< 0.1%
8.21
 
< 0.1%
ValueCountFrequency (%)
18.41
 
< 0.1%
18.31
 
< 0.1%
18.11
 
< 0.1%
181
 
< 0.1%
17.92
< 0.1%
17.82
< 0.1%
17.71
 
< 0.1%
17.63
< 0.1%
17.51
 
< 0.1%
17.44
< 0.1%

hematocrit_percent
Real number (ℝ)

High correlation  Missing 

Distinct226
Distinct (%)12.9%
Missing9276
Missing (%)84.1%
Infinite0
Infinite (%)0.0%
Mean38.897383
Minimum10
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.444320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q135
median40
Q345
95-th percentile50
Maximum58
Range48
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9173113
Coefficient of variation (CV)0.22925222
Kurtosis1.4747232
Mean38.897383
Median Absolute Deviation (MAD)5
Skewness-0.99696207
Sum68070.42
Variance79.51844
MonotonicityNot monotonic
2025-11-25T08:08:44.573969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45108
 
1.0%
40108
 
1.0%
4291
 
0.8%
4191
 
0.8%
4385
 
0.8%
3970
 
0.6%
3770
 
0.6%
4466
 
0.6%
3861
 
0.6%
3559
 
0.5%
Other values (216)941
 
8.5%
(Missing)9276
84.1%
ValueCountFrequency (%)
1029
0.3%
132
 
< 0.1%
144
 
< 0.1%
1539
0.4%
15.31
 
< 0.1%
162
 
< 0.1%
182
 
< 0.1%
2012
 
0.1%
211
 
< 0.1%
21.81
 
< 0.1%
ValueCountFrequency (%)
587
 
0.1%
577
 
0.1%
563
 
< 0.1%
5530
0.3%
54.71
 
< 0.1%
545
 
< 0.1%
53.71
 
< 0.1%
53.31
 
< 0.1%
533
 
< 0.1%
52.61
 
< 0.1%

wbc_count_10e9_L
Real number (ℝ)

High correlation  Missing 

Distinct566
Distinct (%)28.9%
Missing9069
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean4.9626009
Minimum1.2
Maximum24.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.617617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile2.6
Q13.75
median4.61
Q35.83
95-th percentile8.202
Maximum24.68
Range23.48
Interquartile range (IQR)2.08

Descriptive statistics

Standard deviation1.8643316
Coefficient of variation (CV)0.37567631
Kurtosis10.236814
Mean4.9626009
Median Absolute Deviation (MAD)1.01
Skewness1.9165626
Sum9711.81
Variance3.4757323
MonotonicityNot monotonic
2025-11-25T08:08:44.662979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.732
 
0.3%
3.628
 
0.3%
4.528
 
0.3%
3.827
 
0.2%
4.626
 
0.2%
3.926
 
0.2%
4.226
 
0.2%
4.324
 
0.2%
524
 
0.2%
3.123
 
0.2%
Other values (556)1693
 
15.4%
(Missing)9069
82.3%
ValueCountFrequency (%)
1.21
 
< 0.1%
1.521
 
< 0.1%
1.63
< 0.1%
1.76
0.1%
1.711
 
< 0.1%
1.84
< 0.1%
1.821
 
< 0.1%
1.851
 
< 0.1%
1.95
< 0.1%
1.941
 
< 0.1%
ValueCountFrequency (%)
24.681
< 0.1%
17.961
< 0.1%
15.851
< 0.1%
15.781
< 0.1%
15.331
< 0.1%
14.981
< 0.1%
14.81
< 0.1%
13.211
< 0.1%
13.031
< 0.1%
12.421
< 0.1%

platelet_count_10e9_L
Real number (ℝ)

Missing 

Distinct327
Distinct (%)23.9%
Missing9656
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean266.54745
Minimum7
Maximum884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.705757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile164
Q1216
median258
Q3306
95-th percentile405
Maximum884
Range877
Interquartile range (IQR)90

Descriptive statistics

Standard deviation78.805543
Coefficient of variation (CV)0.29565297
Kurtosis5.6313277
Mean266.54745
Median Absolute Deviation (MAD)44
Skewness1.3390495
Sum365170
Variance6210.3137
MonotonicityNot monotonic
2025-11-25T08:08:44.749816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26115
 
0.1%
26614
 
0.1%
28713
 
0.1%
24013
 
0.1%
21913
 
0.1%
24412
 
0.1%
21612
 
0.1%
26412
 
0.1%
22212
 
0.1%
24511
 
0.1%
Other values (317)1243
 
11.3%
(Missing)9656
87.6%
ValueCountFrequency (%)
71
< 0.1%
171
< 0.1%
421
< 0.1%
631
< 0.1%
801
< 0.1%
821
< 0.1%
871
< 0.1%
901
< 0.1%
961
< 0.1%
982
< 0.1%
ValueCountFrequency (%)
8841
< 0.1%
7511
< 0.1%
6761
< 0.1%
6521
< 0.1%
6191
< 0.1%
5881
< 0.1%
5751
< 0.1%
5521
< 0.1%
5491
< 0.1%
5441
< 0.1%

neutrophil_count_10e9_L
Real number (ℝ)

High correlation  Missing 

Distinct427
Distinct (%)31.3%
Missing9661
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean2.7509363
Minimum0.19
Maximum9.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.795205image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile1.264
Q11.87
median2.51
Q33.35
95-th percentile5.23
Maximum9.68
Range9.49
Interquartile range (IQR)1.48

Descriptive statistics

Standard deviation1.2579867
Coefficient of variation (CV)0.45729403
Kurtosis3.776255
Mean2.7509363
Median Absolute Deviation (MAD)0.69
Skewness1.5319142
Sum3755.028
Variance1.5825306
MonotonicityNot monotonic
2025-11-25T08:08:44.841123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9911
 
0.1%
2.6610
 
0.1%
2.1310
 
0.1%
2.4910
 
0.1%
2.079
 
0.1%
2.29
 
0.1%
1.519
 
0.1%
2.369
 
0.1%
2.198
 
0.1%
3.728
 
0.1%
Other values (417)1272
 
11.5%
(Missing)9661
87.6%
ValueCountFrequency (%)
0.191
< 0.1%
0.591
< 0.1%
0.652
< 0.1%
0.721
< 0.1%
0.751
< 0.1%
0.811
< 0.1%
0.8181
< 0.1%
0.862
< 0.1%
0.91
< 0.1%
0.922
< 0.1%
ValueCountFrequency (%)
9.681
< 0.1%
9.661
< 0.1%
9.311
< 0.1%
9.171
< 0.1%
8.521
< 0.1%
8.351
< 0.1%
8.071
< 0.1%
7.961
< 0.1%
7.661
< 0.1%
7.431
< 0.1%

lymphocyte_count_10e9_L
Real number (ℝ)

High correlation  Missing 

Distinct320
Distinct (%)23.4%
Missing9656
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean1.9186569
Minimum0.21
Maximum9.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.886656image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile0.8845
Q11.38
median1.83
Q32.34
95-th percentile3.2665
Maximum9.94
Range9.73
Interquartile range (IQR)0.96

Descriptive statistics

Standard deviation0.7813107
Coefficient of variation (CV)0.40721751
Kurtosis8.7588809
Mean1.9186569
Median Absolute Deviation (MAD)0.49
Skewness1.4763406
Sum2628.56
Variance0.61044641
MonotonicityNot monotonic
2025-11-25T08:08:44.934886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6113
 
0.1%
1.3313
 
0.1%
1.813
 
0.1%
1.8213
 
0.1%
2.0112
 
0.1%
1.5912
 
0.1%
1.6612
 
0.1%
2.0812
 
0.1%
1.4712
 
0.1%
1.5312
 
0.1%
Other values (310)1246
 
11.3%
(Missing)9656
87.6%
ValueCountFrequency (%)
0.211
 
< 0.1%
0.221
 
< 0.1%
0.251
 
< 0.1%
0.271
 
< 0.1%
0.331
 
< 0.1%
0.372
< 0.1%
0.451
 
< 0.1%
0.463
< 0.1%
0.471
 
< 0.1%
0.491
 
< 0.1%
ValueCountFrequency (%)
9.941
< 0.1%
5.921
< 0.1%
5.321
< 0.1%
4.731
< 0.1%
4.71
< 0.1%
4.682
< 0.1%
4.581
< 0.1%
4.311
< 0.1%
4.211
< 0.1%
4.21
< 0.1%

monocyte_count_10e9_L
Real number (ℝ)

High correlation  Missing 

Distinct96
Distinct (%)7.6%
Missing9757
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean0.44579984
Minimum0.11
Maximum2.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:44.981109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile0.22
Q10.33
median0.42
Q30.53
95-th percentile0.77
Maximum2.12
Range2.01
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.18297858
Coefficient of variation (CV)0.41045008
Kurtosis10.544407
Mean0.44579984
Median Absolute Deviation (MAD)0.1
Skewness2.0473435
Sum565.72
Variance0.033481162
MonotonicityNot monotonic
2025-11-25T08:08:45.028386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3842
 
0.4%
0.3441
 
0.4%
0.4341
 
0.4%
0.3539
 
0.4%
0.3638
 
0.3%
0.437
 
0.3%
0.4137
 
0.3%
0.3736
 
0.3%
0.4835
 
0.3%
0.4233
 
0.3%
Other values (86)890
 
8.1%
(Missing)9757
88.5%
ValueCountFrequency (%)
0.114
 
< 0.1%
0.122
 
< 0.1%
0.144
 
< 0.1%
0.154
 
< 0.1%
0.164
 
< 0.1%
0.171
 
< 0.1%
0.188
0.1%
0.198
0.1%
0.29
0.1%
0.2116
0.1%
ValueCountFrequency (%)
2.121
< 0.1%
1.841
< 0.1%
1.541
< 0.1%
1.471
< 0.1%
1.421
< 0.1%
1.181
< 0.1%
1.171
< 0.1%
1.081
< 0.1%
1.072
< 0.1%
1.041
< 0.1%

eosinophil_count_10e9_L
Real number (ℝ)

Missing 

Distinct90
Distinct (%)7.1%
Missing9757
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean0.14078014
Minimum0
Maximum3.16
Zeros52
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.075638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.03
median0.08
Q30.16
95-th percentile0.496
Maximum3.16
Range3.16
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.212717
Coefficient of variation (CV)1.5109873
Kurtosis47.469199
Mean0.14078014
Median Absolute Deviation (MAD)0.05
Skewness5.346545
Sum178.65
Variance0.045248523
MonotonicityNot monotonic
2025-11-25T08:08:45.121259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0296
 
0.9%
0.0190
 
0.8%
0.0385
 
0.8%
0.0779
 
0.7%
0.0477
 
0.7%
0.0572
 
0.7%
0.0669
 
0.6%
0.155
 
0.5%
0.0852
 
0.5%
052
 
0.5%
Other values (80)542
 
4.9%
(Missing)9757
88.5%
ValueCountFrequency (%)
052
0.5%
0.0190
0.8%
0.0296
0.9%
0.0385
0.8%
0.0477
0.7%
0.0572
0.7%
0.0669
0.6%
0.0779
0.7%
0.0852
0.5%
0.0941
0.4%
ValueCountFrequency (%)
3.161
< 0.1%
1.891
< 0.1%
1.752
< 0.1%
1.571
< 0.1%
1.511
< 0.1%
1.481
< 0.1%
1.351
< 0.1%
1.251
< 0.1%
1.232
< 0.1%
1.151
< 0.1%

basophil_count_10e9_L
Real number (ℝ)

Missing  Zeros 

Distinct18
Distinct (%)1.4%
Missing9757
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean0.02534279
Minimum0
Maximum0.21
Zeros135
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.161555image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.02
Q30.03
95-th percentile0.06
Maximum0.21
Range0.21
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.020467253
Coefficient of variation (CV)0.8076164
Kurtosis13.166377
Mean0.02534279
Median Absolute Deviation (MAD)0.01
Skewness2.4966961
Sum32.16
Variance0.00041890843
MonotonicityNot monotonic
2025-11-25T08:08:45.198697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.02351
 
3.2%
0.03265
 
2.4%
0.01244
 
2.2%
0135
 
1.2%
0.04129
 
1.2%
0.0569
 
0.6%
0.0629
 
0.3%
0.0719
 
0.2%
0.097
 
0.1%
0.086
 
0.1%
Other values (8)15
 
0.1%
(Missing)9757
88.5%
ValueCountFrequency (%)
0135
 
1.2%
0.01244
2.2%
0.02351
3.2%
0.03265
2.4%
0.04129
 
1.2%
0.0569
 
0.6%
0.0629
 
0.3%
0.0719
 
0.2%
0.086
 
0.1%
0.097
 
0.1%
ValueCountFrequency (%)
0.211
 
< 0.1%
0.191
 
< 0.1%
0.161
 
< 0.1%
0.151
 
< 0.1%
0.132
 
< 0.1%
0.122
 
< 0.1%
0.115
< 0.1%
0.12
 
< 0.1%
0.097
0.1%
0.086
0.1%

mcv_fL
Real number (ℝ)

High correlation  Missing 

Distinct379
Distinct (%)29.9%
Missing9757
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean88.587076
Minimum58.1
Maximum121.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.239533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum58.1
5-th percentile74.1
Q184.2
median88.4
Q393
95-th percentile104.72
Maximum121.1
Range63
Interquartile range (IQR)8.8

Descriptive statistics

Standard deviation8.7379195
Coefficient of variation (CV)0.098636503
Kurtosis1.3868719
Mean88.587076
Median Absolute Deviation (MAD)4.5
Skewness0.12628103
Sum112417
Variance76.351237
MonotonicityNot monotonic
2025-11-25T08:08:45.283883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.315
 
0.1%
84.514
 
0.1%
89.314
 
0.1%
91.812
 
0.1%
8812
 
0.1%
90.411
 
0.1%
88.311
 
0.1%
91.711
 
0.1%
87.211
 
0.1%
89.110
 
0.1%
Other values (369)1148
 
10.4%
(Missing)9757
88.5%
ValueCountFrequency (%)
58.11
< 0.1%
59.71
< 0.1%
601
< 0.1%
60.11
< 0.1%
60.51
< 0.1%
60.91
< 0.1%
61.21
< 0.1%
61.81
< 0.1%
62.11
< 0.1%
62.21
< 0.1%
ValueCountFrequency (%)
121.11
< 0.1%
117.11
< 0.1%
115.71
< 0.1%
114.71
< 0.1%
1141
< 0.1%
113.71
< 0.1%
113.61
< 0.1%
113.41
< 0.1%
1131
< 0.1%
112.92
< 0.1%

mch_pg
Real number (ℝ)

High correlation  Missing 

Distinct138
Distinct (%)13.1%
Missing9974
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean28.411597
Minimum16.7
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.328397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum16.7
5-th percentile23.1
Q127.1
median28.7
Q330.3
95-th percentile32.145
Maximum34
Range17.3
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.7248789
Coefficient of variation (CV)0.095907279
Kurtosis1.4802156
Mean28.411597
Median Absolute Deviation (MAD)1.6
Skewness-0.94437237
Sum29889
Variance7.4249653
MonotonicityNot monotonic
2025-11-25T08:08:45.377325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.625
 
0.2%
29.921
 
0.2%
28.821
 
0.2%
28.921
 
0.2%
27.920
 
0.2%
29.420
 
0.2%
27.519
 
0.2%
27.318
 
0.2%
27.218
 
0.2%
3018
 
0.2%
Other values (128)851
 
7.7%
(Missing)9974
90.5%
ValueCountFrequency (%)
16.71
< 0.1%
17.31
< 0.1%
17.61
< 0.1%
17.81
< 0.1%
17.91
< 0.1%
18.21
< 0.1%
18.41
< 0.1%
18.51
< 0.1%
18.81
< 0.1%
19.71
< 0.1%
ValueCountFrequency (%)
341
 
< 0.1%
33.91
 
< 0.1%
33.82
< 0.1%
33.71
 
< 0.1%
33.53
< 0.1%
33.42
< 0.1%
33.34
< 0.1%
33.21
 
< 0.1%
33.12
< 0.1%
332
< 0.1%

mchc_g_dL
Real number (ℝ)

High correlation  Missing 

Distinct59
Distinct (%)5.6%
Missing9974
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean32.653707
Minimum28.3
Maximum35.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.425452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum28.3
5-th percentile31.2
Q132.2
median32.7
Q333.2
95-th percentile33.9
Maximum35.9
Range7.6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89265719
Coefficient of variation (CV)0.027337086
Kurtosis2.0274307
Mean32.653707
Median Absolute Deviation (MAD)0.5
Skewness-0.58209633
Sum34351.7
Variance0.79683686
MonotonicityNot monotonic
2025-11-25T08:08:45.474677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.660
 
0.5%
32.757
 
0.5%
33.154
 
0.5%
32.454
 
0.5%
3353
 
0.5%
33.252
 
0.5%
32.551
 
0.5%
32.850
 
0.5%
32.946
 
0.4%
32.344
 
0.4%
Other values (49)531
 
4.8%
(Missing)9974
90.5%
ValueCountFrequency (%)
28.31
< 0.1%
28.61
< 0.1%
28.71
< 0.1%
28.81
< 0.1%
29.32
< 0.1%
29.41
< 0.1%
29.81
< 0.1%
302
< 0.1%
30.21
< 0.1%
30.32
< 0.1%
ValueCountFrequency (%)
35.91
 
< 0.1%
35.61
 
< 0.1%
35.31
 
< 0.1%
352
 
< 0.1%
34.94
 
< 0.1%
34.72
 
< 0.1%
34.61
 
< 0.1%
34.53
 
< 0.1%
34.410
0.1%
34.33
 
< 0.1%

rdw_percent
Real number (ℝ)

Missing 

Distinct58
Distinct (%)26.7%
Missing10809
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean14.628111
Minimum11.9
Maximum23.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.522530image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum11.9
5-th percentile12.6
Q113.5
median14.3
Q315.1
95-th percentile18.34
Maximum23.9
Range12
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.805263
Coefficient of variation (CV)0.12341054
Kurtosis5.6324967
Mean14.628111
Median Absolute Deviation (MAD)0.8
Skewness2.0358278
Sum3174.3
Variance3.2589747
MonotonicityNot monotonic
2025-11-25T08:08:45.570363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.812
 
0.1%
14.311
 
0.1%
14.110
 
0.1%
13.310
 
0.1%
14.29
 
0.1%
13.48
 
0.1%
158
 
0.1%
15.28
 
0.1%
13.98
 
0.1%
14.77
 
0.1%
Other values (48)126
 
1.1%
(Missing)10809
98.0%
ValueCountFrequency (%)
11.91
 
< 0.1%
12.13
< 0.1%
12.21
 
< 0.1%
12.41
 
< 0.1%
12.53
< 0.1%
12.66
0.1%
12.71
 
< 0.1%
12.82
 
< 0.1%
12.94
< 0.1%
133
< 0.1%
ValueCountFrequency (%)
23.91
< 0.1%
21.91
< 0.1%
20.82
< 0.1%
20.51
< 0.1%
201
< 0.1%
19.82
< 0.1%
19.51
< 0.1%
18.91
< 0.1%
18.51
< 0.1%
18.32
< 0.1%

alt_U_L
Real number (ℝ)

High correlation  Missing 

Distinct53
Distinct (%)16.7%
Missing10708
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean21.487421
Minimum6
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.614336image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9
Q113
median17
Q323.75
95-th percentile47.3
Maximum157
Range151
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation16.144014
Coefficient of variation (CV)0.75132392
Kurtosis21.334062
Mean21.487421
Median Absolute Deviation (MAD)5
Skewness3.8499824
Sum6833
Variance260.62918
MonotonicityNot monotonic
2025-11-25T08:08:45.661745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1523
 
0.2%
1020
 
0.2%
1618
 
0.2%
1418
 
0.2%
1218
 
0.2%
1717
 
0.2%
1117
 
0.2%
1317
 
0.2%
2115
 
0.1%
1815
 
0.1%
Other values (43)140
 
1.3%
(Missing)10708
97.1%
ValueCountFrequency (%)
64
 
< 0.1%
71
 
< 0.1%
83
 
< 0.1%
99
 
0.1%
1020
0.2%
1117
0.2%
1218
0.2%
1317
0.2%
1418
0.2%
1523
0.2%
ValueCountFrequency (%)
1571
< 0.1%
982
< 0.1%
971
< 0.1%
931
< 0.1%
891
< 0.1%
711
< 0.1%
701
< 0.1%
641
< 0.1%
631
< 0.1%
611
< 0.1%

ast_U_L
Real number (ℝ)

High correlation  Missing 

Distinct223
Distinct (%)30.1%
Missing10285
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean43.764238
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.710300image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q123
median46.4
Q361.2
95-th percentile73.4
Maximum100
Range90
Interquartile range (IQR)38.2

Descriptive statistics

Standard deviation20.453572
Coefficient of variation (CV)0.46735812
Kurtosis-1.3811424
Mean43.764238
Median Absolute Deviation (MAD)19.7
Skewness0.032422857
Sum32429.3
Variance418.3486
MonotonicityNot monotonic
2025-11-25T08:08:45.835764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2027
 
0.2%
1723
 
0.2%
2323
 
0.2%
2123
 
0.2%
1922
 
0.2%
2222
 
0.2%
2519
 
0.2%
1518
 
0.2%
1817
 
0.2%
2615
 
0.1%
Other values (213)532
 
4.8%
(Missing)10285
93.3%
ValueCountFrequency (%)
101
 
< 0.1%
11.12
 
< 0.1%
123
 
< 0.1%
131
 
< 0.1%
148
 
0.1%
1518
0.2%
1613
0.1%
1723
0.2%
1817
0.2%
1922
0.2%
ValueCountFrequency (%)
1001
 
< 0.1%
971
 
< 0.1%
84.61
 
< 0.1%
84.32
< 0.1%
83.81
 
< 0.1%
801
 
< 0.1%
79.82
< 0.1%
782
< 0.1%
77.14
< 0.1%
772
< 0.1%

albumin_g_dL
Real number (ℝ)

Missing 

Distinct42
Distinct (%)4.5%
Missing10083
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean41.722163
Minimum29.5
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.878395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum29.5
5-th percentile37
Q140
median42
Q343.5
95-th percentile46
Maximum60
Range30.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.0719792
Coefficient of variation (CV)0.073629432
Kurtosis3.1871988
Mean41.722163
Median Absolute Deviation (MAD)2
Skewness0.32126751
Sum39344
Variance9.437056
MonotonicityNot monotonic
2025-11-25T08:08:45.925350image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
41119
 
1.1%
42109
 
1.0%
4395
 
0.9%
4072
 
0.7%
4460
 
0.5%
4550
 
0.5%
3950
 
0.5%
3849
 
0.4%
41.537
 
0.3%
40.533
 
0.3%
Other values (32)269
 
2.4%
(Missing)10083
91.4%
ValueCountFrequency (%)
29.51
 
< 0.1%
301
 
< 0.1%
312
 
< 0.1%
31.51
 
< 0.1%
32.51
 
< 0.1%
331
 
< 0.1%
343
 
< 0.1%
357
 
0.1%
35.51
 
< 0.1%
3618
0.2%
ValueCountFrequency (%)
601
 
< 0.1%
581
 
< 0.1%
561
 
< 0.1%
541
 
< 0.1%
522
 
< 0.1%
502
 
< 0.1%
495
< 0.1%
48.53
< 0.1%
486
0.1%
47.53
< 0.1%

total_protein_g_dL
Real number (ℝ)

Missing 

Distinct868
Distinct (%)93.4%
Missing10097
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean55.019494
Minimum12.09
Maximum261.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:45.972091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum12.09
5-th percentile24.886
Q137.15
median49.1
Q366.7
95-th percentile100.98
Maximum261.25
Range249.16
Interquartile range (IQR)29.55

Descriptive statistics

Standard deviation26.854133
Coefficient of variation (CV)0.48808398
Kurtosis7.6577044
Mean55.019494
Median Absolute Deviation (MAD)14.07
Skewness2.0273365
Sum51113.11
Variance721.14448
MonotonicityNot monotonic
2025-11-25T08:08:46.020511image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49.723
 
< 0.1%
32.773
 
< 0.1%
54.923
 
< 0.1%
65.152
 
< 0.1%
59.782
 
< 0.1%
30.582
 
< 0.1%
782
 
< 0.1%
44.922
 
< 0.1%
42.072
 
< 0.1%
35.452
 
< 0.1%
Other values (858)906
 
8.2%
(Missing)10097
91.6%
ValueCountFrequency (%)
12.091
< 0.1%
12.991
< 0.1%
14.381
< 0.1%
16.251
< 0.1%
17.441
< 0.1%
17.521
< 0.1%
18.021
< 0.1%
18.141
< 0.1%
18.151
< 0.1%
18.411
< 0.1%
ValueCountFrequency (%)
261.251
< 0.1%
209.41
< 0.1%
194.441
< 0.1%
184.781
< 0.1%
184.581
< 0.1%
174.971
< 0.1%
167.661
< 0.1%
166.311
< 0.1%
162.31
< 0.1%
150.851
< 0.1%

creatinine_umol_L
Real number (ℝ)

High correlation  Missing 

Distinct59
Distinct (%)27.2%
Missing10809
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean63.866359
Minimum31
Maximum169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:46.062877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile44
Q154
median62
Q371
95-th percentile91
Maximum169
Range138
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.771975
Coefficient of variation (CV)0.24695278
Kurtosis8.6528075
Mean63.866359
Median Absolute Deviation (MAD)9
Skewness1.8734959
Sum13859
Variance248.75521
MonotonicityNot monotonic
2025-11-25T08:08:46.106986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6211
 
0.1%
5410
 
0.1%
659
 
0.1%
488
 
0.1%
668
 
0.1%
577
 
0.1%
637
 
0.1%
587
 
0.1%
527
 
0.1%
597
 
0.1%
Other values (49)136
 
1.2%
(Missing)10809
98.0%
ValueCountFrequency (%)
311
 
< 0.1%
391
 
< 0.1%
411
 
< 0.1%
422
 
< 0.1%
433
 
< 0.1%
444
< 0.1%
455
< 0.1%
462
 
< 0.1%
473
 
< 0.1%
488
0.1%
ValueCountFrequency (%)
1691
< 0.1%
1141
< 0.1%
1101
< 0.1%
992
< 0.1%
981
< 0.1%
961
< 0.1%
951
< 0.1%
941
< 0.1%
921
< 0.1%
912
< 0.1%

creatinine_clearance_mL_min
Real number (ℝ)

High correlation  Missing 

Distinct113
Distinct (%)52.1%
Missing10809
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean129.04147
Minimum40
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:46.153465image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile77.8
Q1100
median126
Q3153
95-th percentile192
Maximum243
Range203
Interquartile range (IQR)53

Descriptive statistics

Standard deviation37.493371
Coefficient of variation (CV)0.29055287
Kurtosis-0.35583415
Mean129.04147
Median Absolute Deviation (MAD)26
Skewness0.36660724
Sum28002
Variance1405.7529
MonotonicityNot monotonic
2025-11-25T08:08:46.201777image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1307
 
0.1%
1275
 
< 0.1%
905
 
< 0.1%
935
 
< 0.1%
1005
 
< 0.1%
945
 
< 0.1%
1205
 
< 0.1%
864
 
< 0.1%
1354
 
< 0.1%
1194
 
< 0.1%
Other values (103)168
 
1.5%
(Missing)10809
98.0%
ValueCountFrequency (%)
401
< 0.1%
591
< 0.1%
601
< 0.1%
642
< 0.1%
652
< 0.1%
661
< 0.1%
681
< 0.1%
711
< 0.1%
771
< 0.1%
781
< 0.1%
ValueCountFrequency (%)
2431
< 0.1%
2251
< 0.1%
2171
< 0.1%
2091
< 0.1%
2051
< 0.1%
2031
< 0.1%
1992
< 0.1%
1981
< 0.1%
1971
< 0.1%
1961
< 0.1%

potassium_mEq_L
Real number (ℝ)

Missing 

Distinct30
Distinct (%)16.8%
Missing10847
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean4.8128492
Minimum3.5
Maximum6.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:46.244279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile3.9
Q14.4
median4.8
Q35.1
95-th percentile5.9
Maximum6.6
Range3.1
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.60670619
Coefficient of variation (CV)0.12605967
Kurtosis0.32414825
Mean4.8128492
Median Absolute Deviation (MAD)0.4
Skewness0.53010157
Sum861.5
Variance0.3680924
MonotonicityNot monotonic
2025-11-25T08:08:46.283306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4.716
 
0.1%
4.915
 
0.1%
4.815
 
0.1%
4.313
 
0.1%
4.411
 
0.1%
5.110
 
0.1%
4.610
 
0.1%
5.29
 
0.1%
59
 
0.1%
4.18
 
0.1%
Other values (20)63
 
0.6%
(Missing)10847
98.4%
ValueCountFrequency (%)
3.51
 
< 0.1%
3.61
 
< 0.1%
3.72
 
< 0.1%
3.83
 
< 0.1%
3.96
0.1%
42
 
< 0.1%
4.18
0.1%
4.26
0.1%
4.313
0.1%
4.411
0.1%
ValueCountFrequency (%)
6.62
 
< 0.1%
6.41
 
< 0.1%
6.31
 
< 0.1%
6.23
< 0.1%
6.11
 
< 0.1%
5.93
< 0.1%
5.82
 
< 0.1%
5.75
< 0.1%
5.63
< 0.1%
5.56
0.1%

total_cholesterol_mmol_L
Real number (ℝ)

High correlation  Missing 

Distinct463
Distinct (%)24.4%
Missing9128
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean4.3553477
Minimum1.12
Maximum11.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:46.331459image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.12
5-th percentile2.71
Q13.62
median4.27
Q35.02
95-th percentile6.2215
Maximum11.98
Range10.86
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.1002132
Coefficient of variation (CV)0.25261202
Kurtosis2.4442516
Mean4.3553477
Median Absolute Deviation (MAD)0.69
Skewness0.71617034
Sum8266.45
Variance1.2104691
MonotonicityNot monotonic
2025-11-25T08:08:46.378646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.1120
 
0.2%
416
 
0.1%
3.9914
 
0.1%
4.7513
 
0.1%
4.3813
 
0.1%
4.3712
 
0.1%
4.0412
 
0.1%
3.911
 
0.1%
3.8911
 
0.1%
4.0911
 
0.1%
Other values (453)1765
 
16.0%
(Missing)9128
82.8%
ValueCountFrequency (%)
1.121
 
< 0.1%
1.221
 
< 0.1%
1.291
 
< 0.1%
1.381
 
< 0.1%
1.541
 
< 0.1%
1.591
 
< 0.1%
1.61
 
< 0.1%
1.83
< 0.1%
1.821
 
< 0.1%
1.851
 
< 0.1%
ValueCountFrequency (%)
11.981
< 0.1%
10.481
< 0.1%
10.291
< 0.1%
9.282
< 0.1%
9.041
< 0.1%
8.651
< 0.1%
8.181
< 0.1%
7.821
< 0.1%
7.711
< 0.1%
7.71
< 0.1%

hdl_cholesterol_mmol_L_consolidated
Real number (ℝ)

Missing 

Distinct597
Distinct (%)20.5%
Missing8108
Missing (%)73.5%
Infinite0
Infinite (%)0.0%
Mean1.1788861
Minimum0.1
Maximum4.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:46.423916image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.61
Q10.9001099
median1.12
Q31.4
95-th percentile1.9
Maximum4.18
Range4.08
Interquartile range (IQR)0.4998901

Descriptive statistics

Standard deviation0.40627866
Coefficient of variation (CV)0.34462929
Kurtosis3.8978187
Mean1.1788861
Median Absolute Deviation (MAD)0.23
Skewness1.1937042
Sum3439.9895
Variance0.16506235
MonotonicityNot monotonic
2025-11-25T08:08:46.473607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9104
 
0.9%
1.1103
 
0.9%
194
 
0.9%
1.277
 
0.7%
1.464
 
0.6%
0.862
 
0.6%
1.358
 
0.5%
0.749
 
0.4%
1.540
 
0.4%
1.0430
 
0.3%
Other values (587)2237
 
20.3%
(Missing)8108
73.5%
ValueCountFrequency (%)
0.11
< 0.1%
0.21
< 0.1%
0.20041375741
< 0.1%
0.26118438071
< 0.1%
0.27463149731
< 0.1%
0.281
< 0.1%
0.28445823641
< 0.1%
0.321
< 0.1%
0.332
< 0.1%
0.342
< 0.1%
ValueCountFrequency (%)
4.181
 
< 0.1%
3.73
< 0.1%
3.241
 
< 0.1%
3.141
 
< 0.1%
3.131
 
< 0.1%
3.111
 
< 0.1%
3.091
 
< 0.1%
2.973
< 0.1%
2.81
 
< 0.1%
2.791
 
< 0.1%

ldl_cholesterol_mmol_L_consolidated
Real number (ℝ)

High correlation  Missing 

Distinct831
Distinct (%)28.5%
Missing8109
Missing (%)73.5%
Infinite0
Infinite (%)0.0%
Mean2.3042833
Minimum0
Maximum9.74
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:46.524352image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.938
Q11.62
median2.23
Q32.9
95-th percentile3.924
Maximum9.74
Range9.74
Interquartile range (IQR)1.28

Descriptive statistics

Standard deviation0.93255652
Coefficient of variation (CV)0.40470567
Kurtosis1.2297178
Mean2.3042833
Median Absolute Deviation (MAD)0.63
Skewness0.56391977
Sum6721.5944
Variance0.86966167
MonotonicityNot monotonic
2025-11-25T08:08:46.572365image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.749
 
0.4%
2.341
 
0.4%
1.739
 
0.4%
2.137
 
0.3%
2.236
 
0.3%
235
 
0.3%
1.933
 
0.3%
2.432
 
0.3%
1.831
 
0.3%
2.831
 
0.3%
Other values (821)2553
 
23.2%
(Missing)8109
73.5%
ValueCountFrequency (%)
01
< 0.1%
0.031
< 0.1%
0.141
< 0.1%
0.151
< 0.1%
0.181
< 0.1%
0.211
< 0.1%
0.262
< 0.1%
0.271
< 0.1%
0.281
< 0.1%
0.332
< 0.1%
ValueCountFrequency (%)
9.741
< 0.1%
6.041
< 0.1%
5.571
< 0.1%
5.551
< 0.1%
5.361
< 0.1%
5.231
< 0.1%
5.222
< 0.1%
5.121
< 0.1%
5.071
< 0.1%
5.061
< 0.1%

triglycerides_mmol_L_consolidated
Real number (ℝ)

Missing 

Distinct207
Distinct (%)21.3%
Missing10054
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean1.0413786
Minimum0.22
Maximum10.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:46.618514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile0.42
Q10.64
median0.85
Q31.21
95-th percentile2.1545
Maximum10.42
Range10.2
Interquartile range (IQR)0.57

Descriptive statistics

Standard deviation0.74350213
Coefficient of variation (CV)0.71395949
Kurtosis38.239011
Mean1.0413786
Median Absolute Deviation (MAD)0.255
Skewness4.6665268
Sum1012.22
Variance0.55279542
MonotonicityNot monotonic
2025-11-25T08:08:46.663723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8217
 
0.2%
0.8117
 
0.2%
0.7116
 
0.1%
0.6616
 
0.1%
0.6915
 
0.1%
0.5414
 
0.1%
0.8314
 
0.1%
0.7913
 
0.1%
0.7813
 
0.1%
0.6513
 
0.1%
Other values (197)824
 
7.5%
(Missing)10054
91.2%
ValueCountFrequency (%)
0.221
 
< 0.1%
0.251
 
< 0.1%
0.281
 
< 0.1%
0.32
 
< 0.1%
0.322
 
< 0.1%
0.334
< 0.1%
0.344
< 0.1%
0.356
0.1%
0.362
 
< 0.1%
0.375
< 0.1%
ValueCountFrequency (%)
10.421
< 0.1%
7.241
< 0.1%
5.62
< 0.1%
5.451
< 0.1%
5.241
< 0.1%
5.131
< 0.1%
5.011
< 0.1%
4.541
< 0.1%
4.41
< 0.1%
4.061
< 0.1%

fasting_glucose_mmol_L
Real number (ℝ)

Missing 

Distinct414
Distinct (%)24.2%
Missing9316
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean5.1967427
Minimum0.95
Maximum29.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:08:46.706834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.95
5-th percentile3.7645
Q14.51
median5
Q35.51
95-th percentile6.8655
Maximum29.76
Range28.81
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6183201
Coefficient of variation (CV)0.31141048
Kurtosis53.248894
Mean5.1967427
Median Absolute Deviation (MAD)0.5
Skewness5.5477495
Sum8886.43
Variance2.6189601
MonotonicityNot monotonic
2025-11-25T08:08:46.752595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.7518
 
0.2%
5.2114
 
0.1%
5.0314
 
0.1%
5.1713
 
0.1%
4.5713
 
0.1%
4.8713
 
0.1%
4.9113
 
0.1%
4.9712
 
0.1%
5.1612
 
0.1%
4.9312
 
0.1%
Other values (404)1576
 
14.3%
(Missing)9316
84.5%
ValueCountFrequency (%)
0.951
< 0.1%
1.121
< 0.1%
1.371
< 0.1%
1.471
< 0.1%
2.021
< 0.1%
2.041
< 0.1%
2.211
< 0.1%
2.221
< 0.1%
2.261
< 0.1%
2.552
< 0.1%
ValueCountFrequency (%)
29.761
< 0.1%
20.211
< 0.1%
20.031
< 0.1%
19.781
< 0.1%
17.71
< 0.1%
16.791
< 0.1%
16.441
< 0.1%
151
< 0.1%
14.441
< 0.1%
14.371
< 0.1%

Interactions

2025-11-25T08:08:42.349743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:17.345592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:18.384925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:19.287348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:20.211830image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.147006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.027582image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.955595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.826712image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:24.780708image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:25.666624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:26.570431image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:27.564726image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:28.468819image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:29.437506image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:30.299874image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:31.225972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.086341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.977162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.780057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:34.572863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:35.469687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:36.260922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.155058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.009516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.761056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:39.700091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:40.612230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:41.540835image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:42.380731image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:17.387093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:18.414421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:19.322588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:20.241469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.177657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.058285image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.985585image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.856701image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:24.810479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:25.697384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:26.601886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:27.595745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:28.500277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:29.467144image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:30.331367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:31.258172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.113945image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.005935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.805546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:34.605558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:35.502249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:36.287624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.184740image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.035176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.793351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:39.734605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:40.643074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:41.574606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:42.411479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:17.416440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:18.443373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:19.356206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:20.274170image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.213730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.091813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.017728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.890263image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:24.843715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:25.729587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:26.636603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:27.629408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:28.533693image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:29.499840image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:30.366183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:31.294125image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.138410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.028539image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.829939image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:34.636685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:35.534223image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:36.312035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.209228image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.061746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.823857image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:39.766552image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:40.674035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:41.606613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:42.435895image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:17.456361image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:18.476523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:19.387704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:20.307272image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.248776image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.124939image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.051998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.924674image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:24.878346image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:25.766125image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:26.672622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:27.667711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:28.568051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:29.534263image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:30.399437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:31.326921image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.170451image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.058327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.859279image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:34.665359image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:35.559084image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:36.343666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.241872image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.086965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.853508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:39.799496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:40.705492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:41.631976image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:42.460592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:17.496467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:18.509206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:19.418480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:20.335469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.279887image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.156963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.081505image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.954374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:24.909737image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:25.798567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:26.784337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-11-25T08:08:19.158133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:20.098528image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.037092image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.923514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.855240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.715705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:24.670860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:25.560683image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:26.460112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:27.453239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:28.356298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:29.325637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:30.192943image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:31.125502image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:31.981733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.790602image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.676837image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:34.468189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:35.338755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:36.127543image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:36.969915image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.899561image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.657721image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:39.568326image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:40.468620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:41.406817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:42.217083image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:43.040381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:18.209617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:19.192552image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:20.132456image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.069004image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.952007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.880501image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.747441image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:24.701278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:25.590202image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:26.491454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:27.485028image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:28.388171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:29.358559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:30.221829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:31.149384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.006890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.821347image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.706784image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:34.496593image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:35.372979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:36.160232image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.081022image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.931736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.685179image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:39.602632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:40.506383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:41.443241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:42.250733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:43.072157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:18.240939image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:19.222930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:20.161443image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.095398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.978284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.906304image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.775138image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:24.728482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:25.615858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:26.519986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:27.513949image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:28.416553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:29.386732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:30.249611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:31.175009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.033546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.847756image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.730435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:34.522372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:35.404983image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:36.194568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.106299image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.960455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.710551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:39.634323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:40.542896image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:41.474291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:42.284587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:43.104848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:18.274107image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:19.255081image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:20.186425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:21.122133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.002338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:22.931410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:23.801485image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:24.754814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:25.641980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:26.546021image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:27.539738image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:28.443264image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:29.412915image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:30.274265image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:31.200239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.059018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:32.953153image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:33.754933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:34.547304image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:35.437889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:36.228100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.131532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:37.985009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:38.735322image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:39.666715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:40.576386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:41.506918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:08:42.316069image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-11-25T08:08:46.798441image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Age (at enrolment)BMI (kg/m²)Clinical Study IDSexalbumin_g_dLalt_U_Last_U_Lbasophil_count_10e9_Lcd4_count_cells_uLcreatinine_clearance_mL_mincreatinine_umol_Leosinophil_count_10e9_Lfasting_glucose_mmol_Lhdl_cholesterol_mmol_L_consolidatedhematocrit_percenthemoglobin_g_dLhiv_vl_copies_mLldl_cholesterol_mmol_L_consolidatedlymphocyte_count_10e9_Lmch_pgmchc_g_dLmcv_fLmonocyte_count_10e9_Lneutrophil_count_10e9_Lplatelet_count_10e9_Lpotassium_mEq_Lrdw_percenttotal_cholesterol_mmol_Ltotal_protein_g_dLtriglycerides_mmol_L_consolidatedwbc_count_10e9_L
Age (at enrolment)1.0000.3101.0000.052-0.0440.040-0.0810.0670.042-0.2970.2120.0270.1380.255-0.187-0.148-0.2450.318-0.0040.0510.0200.189-0.054-0.115-0.073NaN-0.0990.158-0.1390.045-0.080
BMI (kg/m²)0.3101.0000.1530.236-0.185NaNNaN0.0120.087NaNNaN0.0040.201-0.138-0.121-0.111-0.1410.2220.126-0.011-0.000-0.0160.0630.0550.0950.117NaN0.124-0.1340.1340.088
Clinical Study ID1.0000.1531.0001.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.1090.0000.0000.0000.0000.000
Sex0.0520.2361.0001.0000.2620.1390.4400.0040.1850.3090.5890.0540.0700.0840.4390.5940.0000.0730.0810.1770.1730.1580.0000.0000.1690.0000.1360.0680.2680.1650.079
albumin_g_dL-0.044-0.1850.0000.2621.000NaNNaNNaNNaNNaNNaNNaN0.0670.096NaNNaNNaN0.106NaNNaNNaNNaNNaNNaNNaNNaNNaN0.1900.0950.193NaN
alt_U_L0.040NaN0.0000.139NaN1.0000.706-0.0810.122-0.0330.167-0.109NaN0.0110.0380.1700.109-0.0330.062NaNNaN-0.0940.0910.063-0.011NaN-0.166-0.027NaNNaN0.025
ast_U_L-0.081NaN0.0000.440NaN0.7061.000-0.0730.086-0.2360.186-0.072NaN0.130-0.2920.1530.047-0.080-0.128NaNNaN-0.146-0.0030.044-0.008NaN-0.078-0.065NaNNaN-0.220
basophil_count_10e9_L0.0670.0120.0000.004NaN-0.081-0.0731.0000.185-0.1300.1420.189NaN0.0280.0750.056-0.193-0.0120.3930.021-0.0270.0710.2120.1670.134NaN0.0820.002NaNNaN0.340
cd4_count_cells_uL0.0420.0871.0000.185NaN0.1220.0860.1851.000-0.002-0.0380.037NaN-0.0060.1740.143-0.796-0.0240.3050.1050.0340.293-0.0780.0880.053NaN0.054-0.014NaNNaN0.189
creatinine_clearance_mL_min-0.297NaN0.0000.309NaN-0.033-0.236-0.130-0.0021.000-0.676-0.016NaN-0.181NaN-0.1710.012-0.0370.039NaNNaN-0.1460.0510.1270.252NaN0.113-0.077NaNNaN0.132
creatinine_umol_L0.212NaN0.0000.589NaN0.1670.1860.142-0.038-0.6761.0000.113NaN0.006NaN0.4490.1130.068-0.022NaNNaN0.0310.014-0.136-0.278NaN-0.1910.098NaNNaN-0.105
eosinophil_count_10e9_L0.0270.0040.0000.054NaN-0.109-0.0720.1890.037-0.0160.1131.000NaN-0.0650.0530.059-0.008-0.0610.1350.0540.0090.0690.079-0.0220.006NaN-0.056-0.075NaNNaN0.128
fasting_glucose_mmol_L0.1380.2010.0000.0700.067NaNNaNNaNNaNNaNNaNNaN1.000-0.072NaNNaNNaN0.074NaNNaNNaNNaNNaNNaNNaNNaNNaN0.019-0.0150.298NaN
hdl_cholesterol_mmol_L_consolidated0.255-0.1380.0000.0840.0960.0110.1300.028-0.006-0.1810.006-0.065-0.0721.000NaN-0.064-0.1700.220-0.128NaNNaN0.041-0.042-0.028-0.065NaN0.0560.4200.002-0.255-0.104
hematocrit_percent-0.187-0.1210.0000.439NaN0.038-0.2920.0750.174NaNNaN0.053NaNNaN1.0000.979-0.093NaN0.1220.3330.2300.3260.0280.064-0.168NaNNaNNaNNaNNaN0.156
hemoglobin_g_dL-0.148-0.1110.0000.594NaN0.1700.1530.0560.143-0.1710.4490.059NaN-0.0640.9791.000-0.0880.1380.0950.4360.3920.3600.0030.054-0.198NaN-0.4830.150NaNNaN0.074
hiv_vl_copies_mL-0.245-0.1411.0000.000NaN0.1090.047-0.193-0.7960.0120.113-0.008NaN-0.170-0.093-0.0881.000-0.013-0.334-0.0030.032-0.2350.104-0.017-0.040NaN0.033-0.019NaNNaN-0.143
ldl_cholesterol_mmol_L_consolidated0.3180.2220.0000.0730.106-0.033-0.080-0.012-0.024-0.0370.068-0.0610.0740.220NaN0.138-0.0131.0000.018NaNNaN0.0560.0250.0280.120NaN-0.1260.729-0.0220.1390.033
lymphocyte_count_10e9_L-0.0040.1260.0000.081NaN0.062-0.1280.3930.3050.039-0.0220.135NaN-0.1280.1220.095-0.3340.0181.0000.069-0.0050.1530.3310.1800.159NaN0.0270.021NaNNaN0.633
mch_pg0.051-0.0110.0000.177NaNNaNNaN0.0210.105NaNNaN0.054NaNNaN0.3330.436-0.003NaN0.0691.0000.6790.9600.005-0.015-0.138NaNNaNNaNNaNNaN0.019
mchc_g_dL0.020-0.0000.0000.173NaNNaNNaN-0.0270.034NaNNaN0.009NaNNaN0.2300.3920.032NaN-0.0050.6791.0000.476-0.026-0.029-0.137NaNNaNNaNNaNNaN-0.025
mcv_fL0.189-0.0160.0000.158NaN-0.094-0.1460.0710.293-0.1460.0310.069NaN0.0410.3260.360-0.2350.0560.1530.9600.4761.000-0.010-0.021-0.120NaN-0.1420.071NaNNaN0.055
monocyte_count_10e9_L-0.0540.0630.0000.000NaN0.091-0.0030.212-0.0780.0510.0140.079NaN-0.0420.0280.0030.1040.0250.3310.005-0.026-0.0101.0000.4410.183NaN0.0970.023NaNNaN0.593
neutrophil_count_10e9_L-0.1150.0550.0000.000NaN0.0630.0440.1670.0880.127-0.136-0.022NaN-0.0280.0640.054-0.0170.0280.180-0.015-0.029-0.0210.4411.0000.261NaN0.0030.013NaNNaN0.826
platelet_count_10e9_L-0.0730.0950.0000.169NaN-0.011-0.0080.1340.0530.252-0.2780.006NaN-0.065-0.168-0.198-0.0400.1200.159-0.138-0.137-0.1200.1830.2611.000NaN0.1280.119NaNNaN0.276
potassium_mEq_LNaN0.1170.1090.000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.000NaNNaNNaNNaNNaN
rdw_percent-0.099NaN0.0000.136NaN-0.166-0.0780.0820.0540.113-0.191-0.056NaN0.056NaN-0.4830.033-0.1260.027NaNNaN-0.1420.0970.0030.128NaN1.000-0.103NaNNaN-0.012
total_cholesterol_mmol_L0.1580.1240.0000.0680.190-0.027-0.0650.002-0.014-0.0770.098-0.0750.0190.420NaN0.150-0.0190.7290.021NaNNaN0.0710.0230.0130.119NaN-0.1031.000-0.0060.2700.018
total_protein_g_dL-0.139-0.1340.0000.2680.095NaNNaNNaNNaNNaNNaNNaN-0.0150.002NaNNaNNaN-0.022NaNNaNNaNNaNNaNNaNNaNNaNNaN-0.0061.0000.104NaN
triglycerides_mmol_L_consolidated0.0450.1340.0000.1650.193NaNNaNNaNNaNNaNNaNNaN0.298-0.255NaNNaNNaN0.139NaNNaNNaNNaNNaNNaNNaNNaNNaN0.2700.1041.000NaN
wbc_count_10e9_L-0.0800.0880.0000.079NaN0.025-0.2200.3400.1890.132-0.1050.128NaN-0.1040.1560.074-0.1430.0330.6330.019-0.0250.0550.5930.8260.276NaN-0.0120.018NaNNaN1.000

Missing values

2025-11-25T08:08:43.241675image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-11-25T08:08:43.390078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-11-25T08:08:43.563624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Clinical Study IDAge (at enrolment)SexBMI (kg/m²)cd4_count_cells_uLhiv_vl_copies_mLart_statushemoglobin_g_dLhematocrit_percentwbc_count_10e9_Lplatelet_count_10e9_Lneutrophil_count_10e9_Llymphocyte_count_10e9_Lmonocyte_count_10e9_Leosinophil_count_10e9_Lbasophil_count_10e9_Lmcv_fLmch_pgmchc_g_dLrdw_percentalt_U_Last_U_Lalbumin_g_dLtotal_protein_g_dLcreatinine_umol_Lcreatinine_clearance_mL_minpotassium_mEq_Ltotal_cholesterol_mmol_Lhdl_cholesterol_mmol_L_consolidatedldl_cholesterol_mmol_L_consolidatedtriglycerides_mmol_L_consolidatedfasting_glucose_mmol_L
0NaN30.0FemaleNaN1020.00.0Positive10.9NaN5.21390.01.842.810.470.070.0383.6NaNNaN18.116.025.0NaNNaN49.0145.0NaN6.792.304.35NaNNaN
1NaN53.0FemaleNaN446.00.0Positive13.5NaN3.68234.01.371.790.380.110.02112.8NaNNaN16.18.015.0NaNNaN74.065.0NaN4.931.493.10NaNNaN
2NaN36.0FemaleNaN1054.040.0Positive13.3NaN7.71344.02.334.700.560.110.0281.5NaNNaN13.217.017.0NaNNaN59.0199.0NaN5.191.253.19NaNNaN
3NaN47.0FemaleNaN989.00.0Positive10.8NaN6.35257.03.422.340.520.040.03107.2NaNNaN15.511.012.0NaNNaN53.0181.0NaN6.691.524.80NaNNaN
4NaN34.0MaleNaN160.040.0Positive11.2NaN4.17343.02.211.330.440.180.02102.0NaNNaN15.041.032.0NaNNaN66.0145.0NaN3.191.181.51NaNNaN
5NaN40.0FemaleNaN989.040.0Positive15.1NaN7.09319.02.274.180.350.280.00101.2NaNNaN14.114.017.0NaNNaN52.0177.0NaN5.581.063.66NaNNaN
6NaN35.0MaleNaN453.00.0Positive17.4NaN4.66229.02.291.480.490.370.0394.9NaNNaN13.730.024.0NaNNaN98.0113.0NaN5.521.673.70NaNNaN
7NaN30.0MaleNaN288.00.0Positive17.7NaN4.12240.02.141.430.440.100.0187.5NaNNaN13.864.043.0NaNNaN81.084.0NaN4.561.273.12NaNNaN
8NaN44.0FemaleNaN907.00.0Positive12.3NaN4.77230.01.492.740.460.050.0292.9NaNNaN15.025.031.0NaNNaN74.0119.0NaN4.121.232.25NaNNaN
9NaN36.0MaleNaN509.040.0Positive15.5NaN4.72186.02.851.630.190.030.0297.1NaNNaN12.928.026.0NaNNaN59.0154.0NaN4.261.772.21NaNNaN
Clinical Study IDAge (at enrolment)SexBMI (kg/m²)cd4_count_cells_uLhiv_vl_copies_mLart_statushemoglobin_g_dLhematocrit_percentwbc_count_10e9_Lplatelet_count_10e9_Lneutrophil_count_10e9_Llymphocyte_count_10e9_Lmonocyte_count_10e9_Leosinophil_count_10e9_Lbasophil_count_10e9_Lmcv_fLmch_pgmchc_g_dLrdw_percentalt_U_Last_U_Lalbumin_g_dLtotal_protein_g_dLcreatinine_umol_Lcreatinine_clearance_mL_minpotassium_mEq_Ltotal_cholesterol_mmol_Lhdl_cholesterol_mmol_L_consolidatedldl_cholesterol_mmol_L_consolidatedtriglycerides_mmol_L_consolidatedfasting_glucose_mmol_L
11016NaNNaNNaNNaNNaNNaNNaNNaN39.94.7NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11017NaNNaNNaNNaNNaNNaNNaNNaN37.23.1NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11018NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11019NaNNaNNaNNaNNaNNaNNaNNaN33.43.2NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11020NaNNaNNaNNaNNaNNaNNaNNaN30.32.6NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11021NaNNaNNaNNaNNaNNaNNaNNaN30.54.3NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11022NaNNaNNaNNaNNaNNaNNaNNaN47.15.9NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11023NaNNaNNaNNaNNaNNaNNaNNaN42.94.6NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11024NaNNaNNaNNaNNaNNaNNaNNaN37.45.5NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11025NaNNaNNaNNaNNaNNaNNaNNaN39.83.7NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

Duplicate rows

Most frequently occurring

Clinical Study IDAge (at enrolment)SexBMI (kg/m²)cd4_count_cells_uLhiv_vl_copies_mLart_statushemoglobin_g_dLhematocrit_percentwbc_count_10e9_Lplatelet_count_10e9_Lneutrophil_count_10e9_Llymphocyte_count_10e9_Lmonocyte_count_10e9_Leosinophil_count_10e9_Lbasophil_count_10e9_Lmcv_fLmch_pgmchc_g_dLrdw_percentalt_U_Last_U_Lalbumin_g_dLtotal_protein_g_dLcreatinine_umol_Lcreatinine_clearance_mL_minpotassium_mEq_Ltotal_cholesterol_mmol_Lhdl_cholesterol_mmol_L_consolidatedldl_cholesterol_mmol_L_consolidatedtriglycerides_mmol_L_consolidatedfasting_glucose_mmol_L# duplicates
429NaNNaNUnknownNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN240
435NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN112
150NaN21.0FemaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN72
148NaN20.0FemaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN63
160NaN25.0FemaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN62
155NaN23.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN60
171NaN28.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN60
152NaN22.0FemaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN58
154NaN23.0FemaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN56
157NaN24.0FemaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN55